Maximum Power Point Tracking Utilizing Golden Section Optimization for Photovoltaic Systems
编号:98 访问权限:仅限参会人 更新:2021-12-08 08:53:57 浏览:470次 张贴报告

报告开始:2021年12月17日 16:00(Asia/Shanghai)

报告时间:5min

所在会场:[Z] Poster Session [Z7] Poster Session 7: Renewable energy system

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摘要
The paper introduces a novel Maximum Power Point Tracking (MPPT) approach for Photovoltaic (PV) systems which is based on Golden Section Optimization (GSO). The approach finds the Maximum Power Point (MPP) by a method known as interval shrinking. Initially, two points were extracted from the known search space, then evaluated and a new point was generated accordingly. At the given iteration, according to the evaluation observations, the algorithm has a new narrowed interval bounded by the new point and one of the original points. When the interval is short enough, the algorithm begins iterating and the PV is required to run at the average value of the last discovered interval without disrupting either another voltage or the duty cycle. This thing makes the PV system converge easily to the MPP and around the highest PowerPoint without voltage or power oscillations, thus minimizing energy loss. The study reveals that, under quickly changing conditions and PV modules, the MPPT algorithm uses a few arithmetic operations and monitors the MPP of PV systems rapidly and accurately.
关键词
Golden section optimization,maximum power point tracking,photovoltaic cell
报告人
imran Afzal
Hunan University

稿件作者
imran Afzal Hunan University
Chao Zhang College of Electrical and Information Engineering; Hunan University
Jun Wang Hunan University
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重要日期
  • 会议日期

    07月11日

    2023

    08月18日

    2023

  • 11月10日 2021

    初稿截稿日期

  • 12月10日 2021

    注册截止日期

  • 12月11日 2021

    报告提交截止日期

主办单位
IEEE IAS
承办单位
IEEE IAS Student Chapter of Southwest Jiaotong University (SWJTU)
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
IEEE PELS (Power Electronics Society) Student Chapter of HUST
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